Overview

Brought to you by YData

Dataset statistics

Number of variables31
Number of observations8930
Missing cells25
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 MiB
Average record size in memory227.1 B

Variable types

Numeric27
DateTime1
Categorical3

Alerts

COSTE_MTO_CORR_MEDIO_POR_ORDEN is highly overall correlated with COSTE_MTO_MEDIO_POR_ORDENHigh correlation
COSTE_MTO_CORR_TOTAL is highly overall correlated with COSTE_MTO_TOTAL and 5 other fieldsHigh correlation
COSTE_MTO_MEDIO_POR_ORDEN is highly overall correlated with COSTE_MTO_CORR_MEDIO_POR_ORDEN and 1 other fieldsHigh correlation
COSTE_MTO_PREV_MEDIO_POR_ORDEN is highly overall correlated with COSTE_MTO_MEDIO_POR_ORDENHigh correlation
COSTE_MTO_PREV_TOTAL is highly overall correlated with COSTE_MTO_TOTAL and 4 other fieldsHigh correlation
COSTE_MTO_TOTAL is highly overall correlated with COSTE_MTO_CORR_TOTAL and 7 other fieldsHigh correlation
DIAS_ENTRE_FALL_CONSEC is highly overall correlated with COSTE_MTO_CORR_TOTAL and 5 other fieldsHigh correlation
DURACION_HORAS_CORR_MEDIO_POR_ORDEN is highly overall correlated with DURACION_HORAS_MEDIO_POR_ORDENHigh correlation
DURACION_HORAS_CORR_TOTAL is highly overall correlated with COSTE_MTO_CORR_TOTAL and 5 other fieldsHigh correlation
DURACION_HORAS_MEDIO_POR_ORDEN is highly overall correlated with DURACION_HORAS_CORR_MEDIO_POR_ORDEN and 1 other fieldsHigh correlation
DURACION_HORAS_PREV_MEDIO_POR_ORDEN is highly overall correlated with DURACION_HORAS_MEDIO_POR_ORDENHigh correlation
DURACION_HORAS_PREV_TOTAL is highly overall correlated with COSTE_MTO_PREV_TOTAL and 3 other fieldsHigh correlation
DURACION_HORAS_TOTAL is highly overall correlated with COSTE_MTO_CORR_TOTAL and 8 other fieldsHigh correlation
Ordenes_Correctivo is highly overall correlated with COSTE_MTO_CORR_TOTAL and 5 other fieldsHigh correlation
Ordenes_Preventivo is highly overall correlated with COSTE_MTO_PREV_TOTAL and 4 other fieldsHigh correlation
Total_Ordenes is highly overall correlated with COSTE_MTO_CORR_TOTAL and 8 other fieldsHigh correlation
ID_Registro is uniformly distributed Uniform
ID_Registro has unique values Unique
Fecha has unique values Unique

Reproduction

Analysis started2025-02-19 09:59:44.081131
Analysis finished2025-02-19 10:02:32.888136
Duration2 minutes and 48.81 seconds
Software versionydata-profiling vv4.12.2
Download configurationconfig.json

Variables

ID_Registro
Real number (ℝ)

Uniform  Unique 

Distinct8930
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4499.0767
Minimum1
Maximum9000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:32.996577image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile452.45
Q12247.25
median4498.5
Q36744.75
95-th percentile8547.55
Maximum9000
Range8999
Interquartile range (IQR)4497.5

Descriptive statistics

Standard deviation2596.5808
Coefficient of variation (CV)0.57713638
Kurtosis-1.1989868
Mean4499.0767
Median Absolute Deviation (MAD)2249
Skewness0.00024617188
Sum40176755
Variance6742232
MonotonicityStrictly increasing
2025-02-19T10:02:33.243367image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
5999 1
 
< 0.1%
5993 1
 
< 0.1%
5994 1
 
< 0.1%
5995 1
 
< 0.1%
5996 1
 
< 0.1%
5997 1
 
< 0.1%
5998 1
 
< 0.1%
6000 1
 
< 0.1%
6008 1
 
< 0.1%
Other values (8920) 8920
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
9000 1
< 0.1%
8999 1
< 0.1%
8998 1
< 0.1%
8997 1
< 0.1%
8996 1
< 0.1%
8995 1
< 0.1%
8994 1
< 0.1%
8993 1
< 0.1%
8992 1
< 0.1%
8991 1
< 0.1%

ID_Equipo
Real number (ℝ)

Distinct499
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean245.32296
Minimum1
Maximum499
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:33.484526image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24
Q1119
median243
Q3370
95-th percentile474
Maximum499
Range498
Interquartile range (IQR)251

Descriptive statistics

Standard deviation144.24115
Coefficient of variation (CV)0.58796435
Kurtosis-1.1968542
Mean245.32296
Median Absolute Deviation (MAD)125
Skewness0.036997931
Sum2190734
Variance20805.51
MonotonicityNot monotonic
2025-02-19T10:02:33.747902image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
202 34
 
0.4%
155 32
 
0.4%
32 30
 
0.3%
475 30
 
0.3%
229 30
 
0.3%
401 29
 
0.3%
374 28
 
0.3%
5 28
 
0.3%
368 28
 
0.3%
81 27
 
0.3%
Other values (489) 8634
96.7%
ValueCountFrequency (%)
1 16
0.2%
2 13
0.1%
3 18
0.2%
4 20
0.2%
5 28
0.3%
6 23
0.3%
7 15
0.2%
8 25
0.3%
9 13
0.1%
10 24
0.3%
ValueCountFrequency (%)
499 10
0.1%
498 15
0.2%
497 19
0.2%
496 24
0.3%
495 19
0.2%
494 23
0.3%
493 21
0.2%
492 16
0.2%
491 11
0.1%
490 11
0.1%

Fecha
Date

Unique 

Distinct8930
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size69.9 KiB
Minimum2020-01-01 00:00:00
Maximum2021-01-09 23:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-02-19T10:02:34.001887image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:34.266527image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Temperatura_C
Real number (ℝ)

Distinct5896
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.664363
Minimum50.01
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:34.528590image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum50.01
5-th percentile54.8545
Q174.44
median99.58
Q3124.6375
95-th percentile145.0855
Maximum150
Range99.99
Interquartile range (IQR)50.1975

Descriptive statistics

Standard deviation28.903842
Coefficient of variation (CV)0.29001181
Kurtosis-1.198364
Mean99.664363
Median Absolute Deviation (MAD)25.115
Skewness0.0095377255
Sum890002.76
Variance835.43208
MonotonicityNot monotonic
2025-02-19T10:02:34.815534image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96 6
 
0.1%
64.88 6
 
0.1%
104.24 6
 
0.1%
87.71 6
 
0.1%
83.46 6
 
0.1%
52.65 5
 
0.1%
117.82 5
 
0.1%
59.15 5
 
0.1%
94.82 5
 
0.1%
77.08 5
 
0.1%
Other values (5886) 8875
99.4%
ValueCountFrequency (%)
50.01 1
 
< 0.1%
50.02 5
0.1%
50.03 2
 
< 0.1%
50.04 1
 
< 0.1%
50.05 1
 
< 0.1%
50.06 1
 
< 0.1%
50.07 1
 
< 0.1%
50.09 2
 
< 0.1%
50.11 1
 
< 0.1%
50.12 2
 
< 0.1%
ValueCountFrequency (%)
150 1
< 0.1%
149.99 2
< 0.1%
149.95 1
< 0.1%
149.94 1
< 0.1%
149.93 1
< 0.1%
149.91 1
< 0.1%
149.9 1
< 0.1%
149.89 1
< 0.1%
149.88 1
< 0.1%
149.86 1
< 0.1%

Vibracion_mm_s
Real number (ℝ)

Distinct491
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.540766
Minimum0.1
Maximum5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:35.053825image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.34
Q11.32
median2.53
Q33.76
95-th percentile4.76
Maximum5
Range4.9
Interquartile range (IQR)2.44

Descriptive statistics

Standard deviation1.4108153
Coefficient of variation (CV)0.55527166
Kurtosis-1.1850158
Mean2.540766
Median Absolute Deviation (MAD)1.22
Skewness0.0072647527
Sum22689.04
Variance1.9903999
MonotonicityNot monotonic
2025-02-19T10:02:35.323657image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.95 38
 
0.4%
3.89 32
 
0.4%
2.03 30
 
0.3%
4.04 30
 
0.3%
0.72 30
 
0.3%
1.98 30
 
0.3%
4.97 29
 
0.3%
3.53 29
 
0.3%
2.47 29
 
0.3%
3.34 28
 
0.3%
Other values (481) 8625
96.6%
ValueCountFrequency (%)
0.1 8
 
0.1%
0.11 23
0.3%
0.12 14
0.2%
0.13 19
0.2%
0.14 16
0.2%
0.15 21
0.2%
0.16 20
0.2%
0.17 26
0.3%
0.18 10
 
0.1%
0.19 22
0.2%
ValueCountFrequency (%)
5 13
0.1%
4.99 16
0.2%
4.98 16
0.2%
4.97 29
0.3%
4.96 13
0.1%
4.95 21
0.2%
4.94 19
0.2%
4.93 22
0.2%
4.92 15
0.2%
4.91 25
0.3%

Horas_Operativas
Real number (ℝ)

Distinct8518
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50438.671
Minimum0
Maximum99982
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:35.596380image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5093.85
Q125246
median50823.5
Q375798.75
95-th percentile94955.9
Maximum99982
Range99982
Interquartile range (IQR)50552.75

Descriptive statistics

Standard deviation28972.669
Coefficient of variation (CV)0.5744138
Kurtosis-1.2120176
Mean50438.671
Median Absolute Deviation (MAD)25244.5
Skewness-0.024798545
Sum4.5041733 × 108
Variance8.3941554 × 108
MonotonicityNot monotonic
2025-02-19T10:02:35.936450image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28061 3
 
< 0.1%
41888 3
 
< 0.1%
3651 3
 
< 0.1%
11655 3
 
< 0.1%
77892 3
 
< 0.1%
44590 3
 
< 0.1%
14779 3
 
< 0.1%
10919 3
 
< 0.1%
61432 3
 
< 0.1%
39175 3
 
< 0.1%
Other values (8508) 8900
99.7%
ValueCountFrequency (%)
0 1
< 0.1%
18 1
< 0.1%
24 1
< 0.1%
44 1
< 0.1%
49 1
< 0.1%
87 1
< 0.1%
90 1
< 0.1%
109 1
< 0.1%
111 2
< 0.1%
125 1
< 0.1%
ValueCountFrequency (%)
99982 1
< 0.1%
99939 1
< 0.1%
99935 2
< 0.1%
99933 1
< 0.1%
99905 1
< 0.1%
99898 1
< 0.1%
99890 1
< 0.1%
99881 1
< 0.1%
99874 1
< 0.1%
99872 1
< 0.1%

MEDIA_TEMP
Real number (ℝ)

Distinct498
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.664363
Minimum79.431429
Maximum121.92562
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:36.249902image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum79.431429
5-th percentile87.739286
Q194.916
median99.887778
Q3104.34182
95-th percentile110.48647
Maximum121.92562
Range42.494196
Interquartile range (IQR)9.4258182

Descriptive statistics

Standard deviation6.8556106
Coefficient of variation (CV)0.068786981
Kurtosis0.020893451
Mean99.664363
Median Absolute Deviation (MAD)4.8404444
Skewness-0.098354975
Sum890002.76
Variance46.999397
MonotonicityNot monotonic
2025-02-19T10:02:36.504167image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106.0832353 34
 
0.4%
95.41 33
 
0.4%
102.045625 32
 
0.4%
107.657 30
 
0.3%
94.916 30
 
0.3%
101.7836667 30
 
0.3%
98.61551724 29
 
0.3%
100.5746429 28
 
0.3%
107.7146429 28
 
0.3%
103.1985714 28
 
0.3%
Other values (488) 8628
96.6%
ValueCountFrequency (%)
79.43142857 14
0.2%
80.07 11
0.1%
80.087 20
0.2%
80.98388889 18
0.2%
82.99307692 13
0.1%
83.10466667 15
0.2%
83.3024 25
0.3%
83.494 10
 
0.1%
83.9975 12
0.1%
84.15722222 18
0.2%
ValueCountFrequency (%)
121.925625 16
0.2%
117.6672222 18
0.2%
117.1238095 21
0.2%
117.09 7
 
0.1%
115.9828571 21
0.2%
115.7063158 19
0.2%
114.6210526 19
0.2%
113.87 16
0.2%
113.4826667 15
0.2%
113.2035 20
0.2%

MEDIA_VIBR
Real number (ℝ)

Distinct491
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.540766
Minimum1.2018182
Maximum3.5094444
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:36.784512image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1.2018182
5-th percentile1.9445455
Q12.3333333
median2.5413333
Q32.745
95-th percentile3.1125
Maximum3.5094444
Range2.3076263
Interquartile range (IQR)0.41166667

Descriptive statistics

Standard deviation0.33603686
Coefficient of variation (CV)0.13225809
Kurtosis0.17567227
Mean2.540766
Median Absolute Deviation (MAD)0.20716667
Skewness-0.09490107
Sum22689.04
Variance0.11292077
MonotonicityNot monotonic
2025-02-19T10:02:37.092691image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.500588235 51
 
0.6%
2.4925 36
 
0.4%
2.962777778 36
 
0.4%
2.647647059 34
 
0.4%
2.108125 32
 
0.4%
2.8203125 32
 
0.4%
2.563333333 30
 
0.3%
2.587666667 30
 
0.3%
1.903333333 30
 
0.3%
2.677333333 30
 
0.3%
Other values (481) 8589
96.2%
ValueCountFrequency (%)
1.201818182 11
0.1%
1.456666667 12
0.1%
1.61 19
0.2%
1.689285714 14
0.2%
1.734583333 24
0.3%
1.781666667 12
0.1%
1.783076923 13
0.1%
1.785263158 19
0.2%
1.798235294 17
0.2%
1.803333333 15
0.2%
ValueCountFrequency (%)
3.509444444 18
0.2%
3.338571429 14
0.2%
3.32 11
0.1%
3.316666667 12
0.1%
3.312352941 17
0.2%
3.298181818 11
0.1%
3.295882353 17
0.2%
3.290833333 12
0.1%
3.263571429 14
0.2%
3.256875 16
0.2%

MEDIA_HORAS_OPERATIVAS
Real number (ℝ)

Distinct499
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50438.671
Minimum29094.318
Maximum68542.385
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:37.348432image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum29094.318
5-th percentile38820.35
Q146299.81
median50216.708
Q354832.6
95-th percentile62118.13
Maximum68542.385
Range39448.066
Interquartile range (IQR)8532.7905

Descriptive statistics

Standard deviation7008.1178
Coefficient of variation (CV)0.13894335
Kurtosis0.049161714
Mean50438.671
Median Absolute Deviation (MAD)4307.8822
Skewness-0.1274258
Sum4.5041733 × 108
Variance49113714
MonotonicityNot monotonic
2025-02-19T10:02:37.615895image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48197.20588 34
 
0.4%
50003.625 32
 
0.4%
46243.5 30
 
0.3%
43984.6 30
 
0.3%
54761.43333 30
 
0.3%
47771.96552 29
 
0.3%
49143 28
 
0.3%
54120.14286 28
 
0.3%
55113.89286 28
 
0.3%
64090.07407 27
 
0.3%
Other values (489) 8634
96.7%
ValueCountFrequency (%)
29094.31818 22
0.2%
29204.15789 19
0.2%
29316.66667 18
0.2%
32549.33333 18
0.2%
32557.5625 16
0.2%
32679.45455 11
0.1%
33131.73684 19
0.2%
33153.68 25
0.3%
34110.81818 11
0.1%
34153.75 12
0.1%
ValueCountFrequency (%)
68542.38462 13
0.1%
68210.66667 18
0.2%
67721.08333 12
0.1%
66649.38889 18
0.2%
65661.35714 14
0.2%
65036.35 20
0.2%
64699.0625 16
0.2%
64532.61538 13
0.1%
64526.83333 12
0.1%
64507.55556 18
0.2%

Vida_util_estimada
Real number (ℝ)

Distinct487
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94784.965
Minimum70524
Maximum99982
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:37.930441image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum70524
5-th percentile85027
Q192591
median96342
Q398478
95-th percentile99769
Maximum99982
Range29458
Interquartile range (IQR)5887

Descriptive statistics

Standard deviation4993.1401
Coefficient of variation (CV)0.052678609
Kurtosis3.9736908
Mean94784.965
Median Absolute Deviation (MAD)2685
Skewness-1.7304081
Sum8.4642974 × 108
Variance24931448
MonotonicityNot monotonic
2025-02-19T10:02:38.260590image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98035 45
 
0.5%
94122 40
 
0.4%
99079 39
 
0.4%
95620 38
 
0.4%
89711 36
 
0.4%
99861 36
 
0.4%
94216 34
 
0.4%
91463 34
 
0.4%
99935 34
 
0.4%
96491 34
 
0.4%
Other values (477) 8560
95.9%
ValueCountFrequency (%)
70524 19
0.2%
70889 19
0.2%
71579 16
0.2%
72510 22
0.2%
75876 20
0.2%
77730 14
0.2%
78763 12
0.1%
79409 19
0.2%
79443 13
0.1%
79794 15
0.2%
ValueCountFrequency (%)
99982 24
0.3%
99939 16
0.2%
99935 34
0.4%
99933 23
0.3%
99905 20
0.2%
99898 28
0.3%
99890 12
 
0.1%
99881 19
0.2%
99874 15
0.2%
99872 16
0.2%

Total_Ordenes
Real number (ℝ)

High correlation 

Distinct29
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.934155
Minimum7
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:38.493170image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile13
Q117
median20
Q323
95-th percentile28
Maximum36
Range29
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.5514601
Coefficient of variation (CV)0.22832471
Kurtosis0.06274505
Mean19.934155
Median Absolute Deviation (MAD)3
Skewness0.31836383
Sum178012
Variance20.715789
MonotonicityNot monotonic
2025-02-19T10:02:38.694472image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
18 863
 
9.7%
19 770
 
8.6%
21 738
 
8.3%
17 674
 
7.5%
16 636
 
7.1%
20 621
 
7.0%
24 612
 
6.9%
15 607
 
6.8%
23 604
 
6.8%
22 535
 
6.0%
Other values (19) 2270
25.4%
ValueCountFrequency (%)
7 13
 
0.1%
8 26
 
0.3%
9 20
 
0.2%
10 13
 
0.1%
11 78
 
0.9%
12 187
 
2.1%
13 206
 
2.3%
14 350
3.9%
15 607
6.8%
16 636
7.1%
ValueCountFrequency (%)
36 21
 
0.2%
34 16
 
0.2%
33 14
 
0.2%
32 30
 
0.3%
31 54
 
0.6%
30 109
 
1.2%
29 112
 
1.3%
28 112
 
1.3%
27 240
2.7%
26 297
3.3%

Ordenes_Correctivo
Real number (ℝ)

High correlation 

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.134602
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:38.921913image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q18
median10
Q312
95-th percentile15
Maximum21
Range20
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.2670756
Coefficient of variation (CV)0.3223684
Kurtosis-0.019073187
Mean10.134602
Median Absolute Deviation (MAD)2
Skewness0.2433414
Sum90502
Variance10.673783
MonotonicityNot monotonic
2025-02-19T10:02:39.413999image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
10 1071
12.0%
9 1013
11.3%
11 988
11.1%
8 927
10.4%
12 891
10.0%
7 763
8.5%
13 674
7.5%
14 634
7.1%
6 498
5.6%
5 382
 
4.3%
Other values (10) 1089
12.2%
ValueCountFrequency (%)
1 25
 
0.3%
3 16
 
0.2%
4 272
 
3.0%
5 382
 
4.3%
6 498
5.6%
7 763
8.5%
8 927
10.4%
9 1013
11.3%
10 1071
12.0%
11 988
11.1%
ValueCountFrequency (%)
21 21
 
0.2%
20 36
 
0.4%
19 42
 
0.5%
18 44
 
0.5%
17 125
 
1.4%
16 165
 
1.8%
15 343
 
3.8%
14 634
7.1%
13 674
7.5%
12 891
10.0%

Ordenes_Preventivo
Real number (ℝ)

High correlation 

Distinct19
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7995521
Minimum2
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:39.632859image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18
median10
Q312
95-th percentile15
Maximum23
Range21
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.1556692
Coefficient of variation (CV)0.32202178
Kurtosis0.29769299
Mean9.7995521
Median Absolute Deviation (MAD)2
Skewness0.24273918
Sum87510
Variance9.9582482
MonotonicityNot monotonic
2025-02-19T10:02:39.830247image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
10 1321
14.8%
11 1155
12.9%
9 996
11.2%
12 944
10.6%
8 928
10.4%
6 642
7.2%
7 611
6.8%
13 516
 
5.8%
5 452
 
5.1%
14 401
 
4.5%
Other values (9) 964
10.8%
ValueCountFrequency (%)
2 50
 
0.6%
3 75
 
0.8%
4 235
 
2.6%
5 452
 
5.1%
6 642
7.2%
7 611
6.8%
8 928
10.4%
9 996
11.2%
10 1321
14.8%
11 1155
12.9%
ValueCountFrequency (%)
23 16
 
0.2%
19 15
 
0.2%
18 88
 
1.0%
17 97
 
1.1%
16 197
 
2.2%
15 191
 
2.1%
14 401
 
4.5%
13 516
5.8%
12 944
10.6%
11 1155
12.9%

DIAS_ENTRE_FALL_CONSEC
Real number (ℝ)

High correlation 

Distinct410
Distinct (%)4.6%
Missing25
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean39.926784
Minimum13
Maximum108.33333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:40.055313image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile23.533333
Q129.25
median37
Q346.142857
95-th percentile69.6
Maximum108.33333
Range95.333333
Interquartile range (IQR)16.892857

Descriptive statistics

Standard deviation14.599971
Coefficient of variation (CV)0.3656686
Kurtosis2.284943
Mean39.926784
Median Absolute Deviation (MAD)8.375
Skewness1.3285466
Sum355548.01
Variance213.15916
MonotonicityNot monotonic
2025-02-19T10:02:40.311174image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 74
 
0.8%
52.33333333 72
 
0.8%
27.92307692 66
 
0.7%
43 63
 
0.7%
55 63
 
0.7%
30 62
 
0.7%
33.18181818 57
 
0.6%
45.75 56
 
0.6%
41 54
 
0.6%
33.09090909 54
 
0.6%
Other values (400) 8284
92.8%
ValueCountFrequency (%)
13 21
0.2%
16.9 19
0.2%
17.28571429 17
0.2%
17.38888889 12
0.1%
18.05 21
0.2%
19 21
0.2%
19.8125 20
0.2%
20 12
0.1%
20.05882353 13
0.1%
20.26315789 20
0.2%
ValueCountFrequency (%)
108.3333333 21
0.2%
94.75 18
0.2%
91 14
0.2%
89.5 13
0.1%
89.25 22
0.2%
89 18
0.2%
88.33333333 10
0.1%
87.66666667 21
0.2%
87.5 19
0.2%
83.25 12
0.1%

COSTE_MTO_CORR_MEDIO_POR_ORDEN
Real number (ℝ)

High correlation 

Distinct499
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4987.6126
Minimum2071.4862
Maximum8159.0614
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:40.565468image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2071.4862
5-th percentile3256.06
Q14416.6207
median5057.6483
Q35592.1724
95-th percentile6382.8967
Maximum8159.0614
Range6087.5752
Interquartile range (IQR)1175.5516

Descriptive statistics

Standard deviation957.00038
Coefficient of variation (CV)0.19187544
Kurtosis0.61284773
Mean4987.6126
Median Absolute Deviation (MAD)595.98317
Skewness-0.12341864
Sum44539380
Variance915849.73
MonotonicityNot monotonic
2025-02-19T10:02:40.817815image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4731.504 34
 
0.4%
4343.6275 32
 
0.4%
5323.669286 30
 
0.3%
4925.695556 30
 
0.3%
4616.087143 30
 
0.3%
5198.605 29
 
0.3%
4301.799 28
 
0.3%
4787.365 28
 
0.3%
5105.698333 28
 
0.3%
5562.093 27
 
0.3%
Other values (489) 8634
96.7%
ValueCountFrequency (%)
2071.48625 21
0.2%
2092.154444 15
0.2%
2201.694 18
0.2%
2203.304444 19
0.2%
2637.113333 19
0.2%
2684.46375 21
0.2%
2787.2475 11
0.1%
2800.600909 22
0.2%
2855.385 13
0.1%
2869.835 16
0.2%
ValueCountFrequency (%)
8159.061429 21
0.2%
8071.452 24
0.3%
7789.38 16
0.2%
7582.626667 21
0.2%
7400.464545 15
0.2%
7388.197143 23
0.3%
7072.002222 13
0.1%
6935.055714 16
0.2%
6920.953333 21
0.2%
6904.836667 16
0.2%

DURACION_HORAS_CORR_MEDIO_POR_ORDEN
Real number (ℝ)

High correlation 

Distinct374
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.123884
Minimum12.125
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:41.059953image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum12.125
5-th percentile16.5
Q121.272727
median24.181818
Q327
95-th percentile31.724038
Maximum38
Range25.875
Interquartile range (IQR)5.7272727

Descriptive statistics

Standard deviation4.3716738
Coefficient of variation (CV)0.18121766
Kurtosis0.26557796
Mean24.123884
Median Absolute Deviation (MAD)2.8961039
Skewness0.08947
Sum215426.28
Variance19.111532
MonotonicityNot monotonic
2025-02-19T10:02:41.344007image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 118
 
1.3%
19 103
 
1.2%
24 101
 
1.1%
22.25 100
 
1.1%
28 85
 
1.0%
23.5 78
 
0.9%
32 72
 
0.8%
26 72
 
0.8%
25.44444444 66
 
0.7%
23 65
 
0.7%
Other values (364) 8070
90.4%
ValueCountFrequency (%)
12.125 20
0.2%
12.33333333 24
0.3%
12.8 18
0.2%
13.28571429 30
0.3%
13.6 22
0.2%
13.90909091 16
0.2%
14.33333333 16
0.2%
15 16
0.2%
15.11111111 12
 
0.1%
15.30769231 17
0.2%
ValueCountFrequency (%)
38 16
0.2%
37.83333333 17
0.2%
37.28571429 14
0.2%
37 25
0.3%
36.14285714 12
0.1%
34.61538462 16
0.2%
33.92857143 25
0.3%
33.57142857 17
0.2%
33.25 10
 
0.1%
33.125 13
0.1%

COSTE_MTO_CORR_TOTAL
Real number (ℝ)

High correlation 

Distinct499
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50532.153
Minimum6095.01
Maximum114016.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:41.586363image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum6095.01
5-th percentile20385.41
Q138049.48
median49777.44
Q362689.92
95-th percentile83133.57
Maximum114016.5
Range107921.49
Interquartile range (IQR)24640.44

Descriptive statistics

Standard deviation18662.047
Coefficient of variation (CV)0.36931034
Kurtosis0.047034903
Mean50532.153
Median Absolute Deviation (MAD)12468.92
Skewness0.31957073
Sum4.5125212 × 108
Variance3.4827199 × 108
MonotonicityNot monotonic
2025-02-19T10:02:41.836029image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47315.04 34
 
0.4%
17374.51 32
 
0.4%
74531.37 30
 
0.3%
44331.26 30
 
0.3%
32312.61 30
 
0.3%
41588.84 29
 
0.3%
43017.99 28
 
0.3%
47873.65 28
 
0.3%
61268.38 28
 
0.3%
55620.93 27
 
0.3%
Other values (489) 8634
96.7%
ValueCountFrequency (%)
6095.01 25
0.3%
11008.47 18
0.2%
11148.99 11
0.1%
12395.74 21
0.2%
13060.32 21
0.2%
13551.47 24
0.3%
15436.74 11
0.1%
16571.89 21
0.2%
17132.31 13
0.1%
17219.01 16
0.2%
ValueCountFrequency (%)
114016.5 20
0.2%
113072.63 16
0.2%
111759.65 14
0.2%
99189.08 21
0.2%
97504.85 20
0.2%
96404.91 12
0.1%
95066.93 19
0.2%
94853.37 25
0.3%
93603.15 22
0.2%
92213.49 20
0.2%

DURACION_HORAS_CORR_TOTAL
Real number (ℝ)

High correlation 

Distinct264
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean244.96775
Minimum37
Maximum554
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:42.071088image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile99
Q1185
median242
Q3300
95-th percentile407
Maximum554
Range517
Interquartile range (IQR)115

Descriptive statistics

Standard deviation91.284896
Coefficient of variation (CV)0.37264047
Kurtosis0.20030951
Mean244.96775
Median Absolute Deviation (MAD)57
Skewness0.42716861
Sum2187562
Variance8332.9323
MonotonicityNot monotonic
2025-02-19T10:02:42.348601image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206 130
 
1.5%
229 118
 
1.3%
192 101
 
1.1%
261 99
 
1.1%
247 97
 
1.1%
292 96
 
1.1%
204 94
 
1.1%
267 91
 
1.0%
270 86
 
1.0%
226 86
 
1.0%
Other values (254) 7932
88.8%
ValueCountFrequency (%)
37 25
0.3%
62 24
0.3%
65 32
0.4%
66 19
0.2%
67 21
0.2%
68 22
0.2%
74 24
0.3%
77 22
0.2%
79 15
0.2%
81 32
0.4%
ValueCountFrequency (%)
554 21
0.2%
552 12
0.1%
519 16
0.2%
506 22
0.2%
503 16
0.2%
490 12
0.1%
489 15
0.2%
484 14
0.2%
479 20
0.2%
477 17
0.2%

COSTE_MTO_PREV_MEDIO_POR_ORDEN
Real number (ℝ)

High correlation 

Distinct499
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5004.8853
Minimum2304.66
Maximum8376.205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:42.587821image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2304.66
5-th percentile3579.838
Q14367.4711
median5028.5262
Q35590.0938
95-th percentile6536.3012
Maximum8376.205
Range6071.545
Interquartile range (IQR)1222.6226

Descriptive statistics

Standard deviation897.62015
Coefficient of variation (CV)0.17934879
Kurtosis0.052720267
Mean5004.8853
Median Absolute Deviation (MAD)617.32717
Skewness0.070539388
Sum44693626
Variance805721.93
MonotonicityNot monotonic
2025-02-19T10:02:42.830519image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5649.79 34
 
0.4%
4786.114 32
 
0.4%
5491.5325 30
 
0.3%
4390.721667 30
 
0.3%
5549.262 30
 
0.3%
5225.4425 29
 
0.3%
5745.093333 28
 
0.3%
4909.548571 28
 
0.3%
3626.808889 28
 
0.3%
5518.932727 27
 
0.3%
Other values (489) 8634
96.7%
ValueCountFrequency (%)
2304.66 20
0.2%
2393.338182 11
0.1%
2729.271667 17
0.2%
2857.472 18
0.2%
2922.681 14
0.2%
2928.785 19
0.2%
2954.012 21
0.2%
2967.164 18
0.2%
2973.8025 12
0.1%
3140.7675 16
0.2%
ValueCountFrequency (%)
8376.205 13
0.1%
7443.45875 21
0.2%
7170.754 14
0.2%
7077.63 25
0.3%
7058.525 24
0.3%
7019.98 19
0.2%
7019.018333 11
0.1%
7017.6175 11
0.1%
6922.748 11
0.1%
6884.00625 21
0.2%

DURACION_HORAS_PREV_MEDIO_POR_ORDEN
Real number (ℝ)

High correlation 

Distinct365
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.086703
Minimum7.3333333
Maximum38.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:43.076978image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum7.3333333
5-th percentile17
Q120.714286
median24.1
Q327.153846
95-th percentile31.8
Maximum38.2
Range30.866667
Interquartile range (IQR)6.4395604

Descriptive statistics

Standard deviation4.5736084
Coefficient of variation (CV)0.18988105
Kurtosis0.25629523
Mean24.086703
Median Absolute Deviation (MAD)3.2333333
Skewness0.025857155
Sum215094.25
Variance20.917893
MonotonicityNot monotonic
2025-02-19T10:02:43.317319image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27 151
 
1.7%
28 114
 
1.3%
25 96
 
1.1%
19.6 91
 
1.0%
25.5 89
 
1.0%
26 83
 
0.9%
19 82
 
0.9%
22 81
 
0.9%
29 74
 
0.8%
24 74
 
0.8%
Other values (355) 7995
89.5%
ValueCountFrequency (%)
7.333333333 13
0.1%
11 26
0.3%
11.16666667 20
0.2%
11.54545455 15
0.2%
12.3 18
0.2%
14.2 15
0.2%
14.42857143 18
0.2%
14.54545455 19
0.2%
14.57142857 10
 
0.1%
14.625 21
0.2%
ValueCountFrequency (%)
38.2 21
0.2%
37 15
0.2%
35.66666667 28
0.3%
35.1 19
0.2%
34.75 16
0.2%
34.66666667 19
0.2%
34.6 18
0.2%
34.4 19
0.2%
34.375 23
0.3%
34.33333333 18
0.2%

COSTE_MTO_PREV_TOTAL
Real number (ℝ)

High correlation 

Distinct499
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48886.965
Minimum8651.53
Maximum130868.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:43.602713image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum8651.53
5-th percentile20972.947
Q135969.89
median49571.53
Q359632.5
95-th percentile78421.35
Maximum130868.53
Range122217
Interquartile range (IQR)23662.61

Descriptive statistics

Standard deviation17403.767
Coefficient of variation (CV)0.35600015
Kurtosis0.49208306
Mean48886.965
Median Absolute Deviation (MAD)11213.78
Skewness0.32975714
Sum4.3656059 × 108
Variance3.028911 × 108
MonotonicityNot monotonic
2025-02-19T10:02:43.871139image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45198.32 34
 
0.4%
47861.14 32
 
0.4%
65898.39 30
 
0.3%
26344.33 30
 
0.3%
55492.62 30
 
0.3%
20901.77 29
 
0.3%
17235.28 28
 
0.3%
34366.84 28
 
0.3%
32641.28 28
 
0.3%
60708.26 27
 
0.3%
Other values (489) 8634
96.7%
ValueCountFrequency (%)
8651.53 11
0.1%
9218.64 20
0.2%
10351.48 15
0.2%
12169.87 26
0.3%
13686.22 13
0.1%
14287.36 18
0.2%
14770.06 21
0.2%
16214.51 13
0.1%
16375.63 17
0.2%
16402.3 14
0.2%
ValueCountFrequency (%)
130868.53 16
0.2%
102960.5 18
0.2%
98559.29 18
0.2%
96511.28 15
0.2%
94681.05 11
0.1%
94094.56 19
0.2%
90364.86 24
0.3%
89973.75 22
0.2%
89440.36 16
0.2%
87445.14 19
0.2%

DURACION_HORAS_PREV_TOTAL
Real number (ℝ)

High correlation 

Distinct265
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean235.02867
Minimum22
Maximum511
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:44.116284image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile107
Q1176
median231
Q3285
95-th percentile380
Maximum511
Range489
Interquartile range (IQR)109

Descriptive statistics

Standard deviation84.797124
Coefficient of variation (CV)0.36079481
Kurtosis0.15472094
Mean235.02867
Median Absolute Deviation (MAD)55
Skewness0.4160953
Sum2098806
Variance7190.5522
MonotonicityNot monotonic
2025-02-19T10:02:44.397887image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205 113
 
1.3%
249 110
 
1.2%
227 97
 
1.1%
232 94
 
1.1%
274 93
 
1.0%
195 92
 
1.0%
137 91
 
1.0%
209 91
 
1.0%
243 90
 
1.0%
264 89
 
1.0%
Other values (255) 7970
89.2%
ValueCountFrequency (%)
22 39
0.4%
48 11
 
0.1%
52 13
 
0.1%
67 20
0.2%
68 16
0.2%
73 19
0.2%
78 22
0.2%
79 16
0.2%
87 18
0.2%
89 23
0.3%
ValueCountFrequency (%)
511 19
0.2%
501 18
0.2%
486 11
0.1%
481 18
0.2%
462 21
0.2%
459 11
0.1%
458 16
0.2%
453 27
0.3%
445 13
0.1%
442 21
0.2%

COSTE_MTO_MEDIO_POR_ORDEN
Real number (ℝ)

High correlation 

Distinct499
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4996.2594
Minimum2498.3807
Maximum6956.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:44.800900image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2498.3807
5-th percentile3933.2762
Q14634.8669
median5002.5717
Q35369.58
95-th percentile6089.7083
Maximum6956.17
Range4457.7893
Interquartile range (IQR)734.71308

Descriptive statistics

Standard deviation624.12903
Coefficient of variation (CV)0.12491926
Kurtosis0.40097805
Mean4996.2594
Median Absolute Deviation (MAD)367.70482
Skewness-0.034613536
Sum44616597
Variance389537.05
MonotonicityNot monotonic
2025-02-19T10:02:45.224558image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5139.631111 34
 
0.4%
4659.689286 32
 
0.4%
5401.144615 30
 
0.3%
4711.706 30
 
0.3%
5165.013529 30
 
0.3%
5207.550833 29
 
0.3%
4634.866923 28
 
0.3%
4837.675882 28
 
0.3%
4471.888571 28
 
0.3%
5539.485238 27
 
0.3%
Other values (489) 8634
96.7%
ValueCountFrequency (%)
2498.380667 11
0.1%
2783.970667 15
0.2%
3356.644 11
0.1%
3385.696 18
0.2%
3527.9596 17
0.2%
3628.517826 24
0.3%
3634.188333 15
0.2%
3634.923077 13
0.1%
3654.544 20
0.2%
3679.5344 12
0.1%
ValueCountFrequency (%)
6956.17 13
0.1%
6790.311667 24
0.3%
6658.467857 11
0.1%
6602.345 15
0.2%
6513.377143 13
0.1%
6484.124375 25
0.3%
6481.694667 21
0.2%
6453.197222 19
0.2%
6388.24125 21
0.2%
6353.71 21
0.2%

DURACION_HORAS_MEDIO_POR_ORDEN
Real number (ℝ)

High correlation 

Distinct423
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.115927
Minimum14.4
Maximum34.461538
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:45.476824image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum14.4
5-th percentile19.444444
Q122.142857
median24.210526
Q326
95-th percentile28.933333
Maximum34.461538
Range20.061538
Interquartile range (IQR)3.8571429

Descriptive statistics

Standard deviation2.9657913
Coefficient of variation (CV)0.12298061
Kurtosis0.48130704
Mean24.115927
Median Absolute Deviation (MAD)1.877193
Skewness0.10627665
Sum215355.22
Variance8.7959177
MonotonicityNot monotonic
2025-02-19T10:02:45.782978image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 137
 
1.5%
24 96
 
1.1%
24.8 69
 
0.8%
24.66666667 62
 
0.7%
27 57
 
0.6%
22 56
 
0.6%
26.57142857 54
 
0.6%
25 53
 
0.6%
20.33333333 52
 
0.6%
24.27777778 52
 
0.6%
Other values (413) 8242
92.3%
ValueCountFrequency (%)
14.4 18
0.2%
15.33333333 21
0.2%
15.8125 18
0.2%
17.13333333 12
0.1%
17.1875 13
0.1%
17.2 17
0.2%
17.40909091 17
0.2%
17.42857143 16
0.2%
17.61111111 16
0.2%
18.21052632 17
0.2%
ValueCountFrequency (%)
34.46153846 25
0.3%
33.94736842 16
0.2%
32.52941176 24
0.3%
32.23076923 28
0.3%
31.73333333 10
 
0.1%
31.59090909 22
0.2%
31.45454545 18
0.2%
30.5 12
0.1%
30.42105263 18
0.2%
30.375 18
0.2%

COSTE_MTO_TOTAL
Real number (ℝ)

High correlation 

Distinct499
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99419.117
Minimum37475.71
Maximum187601.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:46.308844image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum37475.71
5-th percentile61209.61
Q182460.22
median97658.58
Q3115059.15
95-th percentile144802.02
Maximum187601.77
Range150126.06
Interquartile range (IQR)32598.93

Descriptive statistics

Standard deviation25233.439
Coefficient of variation (CV)0.25380872
Kurtosis0.16683309
Mean99419.117
Median Absolute Deviation (MAD)16334.86
Skewness0.40762092
Sum8.8781272 × 108
Variance6.3672643 × 108
MonotonicityNot monotonic
2025-02-19T10:02:46.593090image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92513.36 34
 
0.4%
65235.65 32
 
0.4%
140429.76 30
 
0.3%
70675.59 30
 
0.3%
87805.23 30
 
0.3%
62490.61 29
 
0.3%
60253.27 28
 
0.3%
82240.49 28
 
0.3%
93909.66 28
 
0.3%
116329.19 27
 
0.3%
Other values (489) 8634
96.7%
ValueCountFrequency (%)
37475.71 11
0.1%
41036.89 20
0.2%
41280.32 26
0.3%
41759.56 15
0.2%
43995.31 18
0.2%
45538.64 14
0.2%
45593.64 13
0.1%
47254 13
0.1%
50349.66 11
0.1%
50785.44 18
0.2%
ValueCountFrequency (%)
187601.77 14
0.2%
183067.45 19
0.2%
171184.2 16
0.2%
165278.54 21
0.2%
164986.19 16
0.2%
163698.37 12
0.1%
162201.68 18
0.2%
161622.62 20
0.2%
161084.75 14
0.2%
160542.87 20
0.2%

DURACION_HORAS_TOTAL
Real number (ℝ)

High correlation 

Distinct314
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean479.99642
Minimum178
Maximum854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:46.910353image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum178
5-th percentile297
Q1390
median470
Q3562
95-th percentile686
Maximum854
Range676
Interquartile range (IQR)172

Descriptive statistics

Standard deviation120.45208
Coefficient of variation (CV)0.2509437
Kurtosis-0.21694685
Mean479.99642
Median Absolute Deviation (MAD)86
Skewness0.24810746
Sum4286368
Variance14508.703
MonotonicityNot monotonic
2025-02-19T10:02:47.157944image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
620 109
 
1.2%
544 89
 
1.0%
534 86
 
1.0%
495 85
 
1.0%
592 80
 
0.9%
456 78
 
0.9%
638 77
 
0.9%
389 77
 
0.9%
394 73
 
0.8%
336 70
 
0.8%
Other values (304) 8106
90.8%
ValueCountFrequency (%)
178 13
0.1%
184 21
0.2%
199 20
0.2%
214 26
0.3%
216 18
0.2%
231 16
0.2%
236 22
0.2%
243 19
0.2%
244 16
0.2%
253 18
0.2%
ValueCountFrequency (%)
854 18
0.2%
837 11
0.1%
819 12
0.1%
810 21
0.2%
803 14
0.2%
774 25
0.3%
756 17
0.2%
752 16
0.2%
744 11
0.1%
740 19
0.2%

Tipo_Equipo
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
Generador
2482 
Transformador
2218 
Motor
2119 
Compresor
2111 

Length

Max length13
Median length9
Mean length9.0443449
Min length5

Characters and Unicode

Total characters80766
Distinct characters15
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCompresor
2nd rowMotor
3rd rowMotor
4th rowGenerador
5th rowGenerador

Common Values

ValueCountFrequency (%)
Generador 2482
27.8%
Transformador 2218
24.8%
Motor 2119
23.7%
Compresor 2111
23.6%

Length

2025-02-19T10:02:47.408518image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-19T10:02:47.663357image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
generador 2482
27.8%
transformador 2218
24.8%
motor 2119
23.7%
compresor 2111
23.6%

Most occurring characters

ValueCountFrequency (%)
r 17959
22.2%
o 15378
19.0%
e 7075
 
8.8%
a 6918
 
8.6%
n 4700
 
5.8%
d 4700
 
5.8%
s 4329
 
5.4%
m 4329
 
5.4%
G 2482
 
3.1%
T 2218
 
2.7%
Other values (5) 10678
13.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 80766
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
r 17959
22.2%
o 15378
19.0%
e 7075
 
8.8%
a 6918
 
8.6%
n 4700
 
5.8%
d 4700
 
5.8%
s 4329
 
5.4%
m 4329
 
5.4%
G 2482
 
3.1%
T 2218
 
2.7%
Other values (5) 10678
13.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 80766
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
r 17959
22.2%
o 15378
19.0%
e 7075
 
8.8%
a 6918
 
8.6%
n 4700
 
5.8%
d 4700
 
5.8%
s 4329
 
5.4%
m 4329
 
5.4%
G 2482
 
3.1%
T 2218
 
2.7%
Other values (5) 10678
13.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 80766
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
r 17959
22.2%
o 15378
19.0%
e 7075
 
8.8%
a 6918
 
8.6%
n 4700
 
5.8%
d 4700
 
5.8%
s 4329
 
5.4%
m 4329
 
5.4%
G 2482
 
3.1%
T 2218
 
2.7%
Other values (5) 10678
13.2%

Fabricante
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
ABB
2350 
Siemens
2308 
GE
2241 
Schneider
2031 

Length

Max length9
Median length7
Mean length5.1474804
Min length2

Characters and Unicode

Total characters45967
Distinct characters14
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSchneider
2nd rowGE
3rd rowSiemens
4th rowSchneider
5th rowSiemens

Common Values

ValueCountFrequency (%)
ABB 2350
26.3%
Siemens 2308
25.8%
GE 2241
25.1%
Schneider 2031
22.7%

Length

2025-02-19T10:02:47.931075image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-19T10:02:48.179130image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
abb 2350
26.3%
siemens 2308
25.8%
ge 2241
25.1%
schneider 2031
22.7%

Most occurring characters

ValueCountFrequency (%)
e 8678
18.9%
B 4700
10.2%
S 4339
9.4%
i 4339
9.4%
n 4339
9.4%
A 2350
 
5.1%
m 2308
 
5.0%
s 2308
 
5.0%
G 2241
 
4.9%
E 2241
 
4.9%
Other values (4) 8124
17.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 45967
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 8678
18.9%
B 4700
10.2%
S 4339
9.4%
i 4339
9.4%
n 4339
9.4%
A 2350
 
5.1%
m 2308
 
5.0%
s 2308
 
5.0%
G 2241
 
4.9%
E 2241
 
4.9%
Other values (4) 8124
17.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 45967
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 8678
18.9%
B 4700
10.2%
S 4339
9.4%
i 4339
9.4%
n 4339
9.4%
A 2350
 
5.1%
m 2308
 
5.0%
s 2308
 
5.0%
G 2241
 
4.9%
E 2241
 
4.9%
Other values (4) 8124
17.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 45967
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 8678
18.9%
B 4700
10.2%
S 4339
9.4%
i 4339
9.4%
n 4339
9.4%
A 2350
 
5.1%
m 2308
 
5.0%
s 2308
 
5.0%
G 2241
 
4.9%
E 2241
 
4.9%
Other values (4) 8124
17.7%

Modelo
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size9.0 KiB
Z300
2570 
Y200
2264 
X100
2156 
M400
1940 

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters35720
Distinct characters9
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowY200
2nd rowZ300
3rd rowZ300
4th rowM400
5th rowM400

Common Values

ValueCountFrequency (%)
Z300 2570
28.8%
Y200 2264
25.4%
X100 2156
24.1%
M400 1940
21.7%

Length

2025-02-19T10:02:48.380769image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-02-19T10:02:48.605840image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
z300 2570
28.8%
y200 2264
25.4%
x100 2156
24.1%
m400 1940
21.7%

Most occurring characters

ValueCountFrequency (%)
0 17860
50.0%
Z 2570
 
7.2%
3 2570
 
7.2%
Y 2264
 
6.3%
2 2264
 
6.3%
X 2156
 
6.0%
1 2156
 
6.0%
M 1940
 
5.4%
4 1940
 
5.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 35720
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 17860
50.0%
Z 2570
 
7.2%
3 2570
 
7.2%
Y 2264
 
6.3%
2 2264
 
6.3%
X 2156
 
6.0%
1 2156
 
6.0%
M 1940
 
5.4%
4 1940
 
5.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 35720
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 17860
50.0%
Z 2570
 
7.2%
3 2570
 
7.2%
Y 2264
 
6.3%
2 2264
 
6.3%
X 2156
 
6.0%
1 2156
 
6.0%
M 1940
 
5.4%
4 1940
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 35720
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 17860
50.0%
Z 2570
 
7.2%
3 2570
 
7.2%
Y 2264
 
6.3%
2 2264
 
6.3%
X 2156
 
6.0%
1 2156
 
6.0%
M 1940
 
5.4%
4 1940
 
5.4%

Potencia_kW
Real number (ℝ)

Distinct471
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2422.3787
Minimum-100
Maximum4997
Zeros0
Zeros (%)0.0%
Negative165
Negative (%)1.8%
Memory size69.9 KiB
2025-02-19T10:02:48.834606image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum-100
5-th percentile248
Q11238
median2406
Q33568
95-th percentile4764
Maximum4997
Range5097
Interquartile range (IQR)2330

Descriptive statistics

Standard deviation1437.2008
Coefficient of variation (CV)0.59330145
Kurtosis-1.1090371
Mean2422.3787
Median Absolute Deviation (MAD)1168
Skewness0.042654575
Sum21631842
Variance2065546.2
MonotonicityNot monotonic
2025-02-19T10:02:49.097944image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-100 165
 
1.8%
1805 46
 
0.5%
562 46
 
0.5%
250 41
 
0.5%
3029 39
 
0.4%
3527 38
 
0.4%
670 38
 
0.4%
3212 37
 
0.4%
4080 37
 
0.4%
3865 34
 
0.4%
Other values (461) 8409
94.2%
ValueCountFrequency (%)
-100 165
1.8%
53 22
 
0.2%
79 20
 
0.2%
137 20
 
0.2%
146 20
 
0.2%
153 18
 
0.2%
163 15
 
0.2%
173 18
 
0.2%
187 23
 
0.3%
197 21
 
0.2%
ValueCountFrequency (%)
4997 19
0.2%
4993 16
0.2%
4992 17
0.2%
4974 19
0.2%
4948 29
0.3%
4947 21
0.2%
4945 12
0.1%
4930 13
0.1%
4929 14
0.2%
4914 12
0.1%
Distinct489
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5158.1885
Minimum525
Maximum9993
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size69.9 KiB
2025-02-19T10:02:49.343297image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum525
5-th percentile858
Q12866
median5183
Q37324
95-th percentile9464
Maximum9993
Range9468
Interquartile range (IQR)4458

Descriptive statistics

Standard deviation2724.2409
Coefficient of variation (CV)0.52813907
Kurtosis-1.147914
Mean5158.1885
Median Absolute Deviation (MAD)2273
Skewness0.0013296831
Sum46062623
Variance7421488.3
MonotonicityNot monotonic
2025-02-19T10:02:49.592817image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2386 39
 
0.4%
8101 39
 
0.4%
9026 37
 
0.4%
2270 35
 
0.4%
1717 35
 
0.4%
6736 34
 
0.4%
1783 33
 
0.4%
5938 33
 
0.4%
1585 32
 
0.4%
655 30
 
0.3%
Other values (479) 8583
96.1%
ValueCountFrequency (%)
525 12
 
0.1%
549 25
0.3%
564 16
0.2%
572 19
0.2%
585 12
 
0.1%
618 18
0.2%
654 15
0.2%
655 30
0.3%
661 18
0.2%
663 26
0.3%
ValueCountFrequency (%)
9993 15
0.2%
9933 18
0.2%
9926 14
0.2%
9921 12
0.1%
9916 19
0.2%
9909 19
0.2%
9881 18
0.2%
9851 13
0.1%
9836 16
0.2%
9829 20
0.2%

Interactions

2025-02-19T10:02:25.508156image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T09:59:45.999718image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T09:59:52.151591image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T09:59:58.390311image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:04.855403image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:11.290273image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:17.434124image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:23.880062image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:29.845752image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:36.328503image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:42.713001image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:48.880389image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:55.587076image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:01.320102image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:07.359761image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:13.370402image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:19.115725image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:25.212469image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:31.119548image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:37.381344image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:43.290523image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:49.057069image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:55.258963image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:01.099822image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:07.539556image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:13.566304image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:19.707268image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:25.711113image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T09:59:46.214893image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T09:59:52.350170image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T09:59:58.590943image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:05.313247image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:11.543998image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:17.647321image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:24.080174image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:30.057751image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:36.531629image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:42.964237image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:49.091749image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:55.792008image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:01.516892image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:07.570949image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:13.573071image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:19.320536image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:25.412227image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:31.327406image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:37.583082image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:43.492639image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:49.264337image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:55.461537image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:01.313493image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:07.751343image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:13.771375image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:19.907650image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:25.928471image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T09:59:46.571918image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2025-02-19T10:00:17.882893image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:24.286526image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:30.275496image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:36.743373image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:43.186993image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:49.314196image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:55.996091image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:01.781085image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2025-02-19T10:01:13.793176image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:19.531264image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:25.636906image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:31.543021image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:37.805892image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:43.701727image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:49.484093image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:55.667361image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2025-02-19T10:02:07.965434image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2025-02-19T10:02:20.110752image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:26.150400image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T09:59:46.772720image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2025-02-19T09:59:47.052248image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2025-02-19T10:01:06.061043image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:12.027580image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:17.824695image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:23.951932image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:29.778786image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:36.058418image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:41.882339image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:47.757689image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:53.955125image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:59.802876image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:06.163653image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:12.209963image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:18.387846image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:24.120786image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:30.231560image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T09:59:51.041784image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T09:59:57.134557image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:03.231235image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:09.947263image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:16.111499image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:22.796966image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:28.679719image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:35.189972image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:41.478351image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:47.566015image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:54.440180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:00.165187image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:06.284179image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:12.236737image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:18.026156image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:24.152895image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:30.005297image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:36.259797image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:42.095381image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:47.963019image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:54.169222image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:00.001211image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:06.376355image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:12.420629image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:18.591649image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:24.328137image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:30.485327image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T09:59:51.265175image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T09:59:57.367906image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:03.472867image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:10.220723image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:16.447151image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:23.020642image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:28.933053image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:35.425239image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:41.707890image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:47.809266image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:54.675675image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:00.391373image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:06.505634image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:12.468872image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:18.252245image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:24.378371image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:30.263922image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:36.488675image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:42.324444image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:48.189302image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:54.401446image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:00.243165image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:06.616520image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:12.655001image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:18.820385image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:24.556177image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:30.706033image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T09:59:51.527179image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T09:59:57.643869image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:03.699442image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:10.530819image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:16.767245image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:23.235486image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:29.196363image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:35.659774image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:41.944551image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:48.069998image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:54.908614image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:00.615484image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:06.725958image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:12.721324image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:18.475244image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:24.593928image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:30.483158image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:36.743211image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:42.547221image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:48.407484image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:54.623923image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:00.477623image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:06.875291image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:12.875964image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:19.044491image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:24.778883image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:30.917193image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T09:59:51.743414image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T09:59:57.917413image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:03.913731image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:10.777887image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:16.989114image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:23.470584image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:29.441597image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:35.898373image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:42.195278image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:48.382178image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:55.145933image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:00.900480image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:06.941494image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:12.948010image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:18.688640image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:24.805697image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:30.695340image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:36.967933image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:42.805591image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:48.622685image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:54.846125image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:00.692469image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:07.099709image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:13.120518image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:19.257444image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:24.998511image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:31.124471image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T09:59:51.952094image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T09:59:58.147055image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:04.544600image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:11.074157image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:17.213747image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:23.679927image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:29.641513image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:36.113590image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:42.426681image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:48.627736image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:00:55.371147image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:01.125991image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:07.155287image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:13.160870image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:18.892987image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:25.011683image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:30.910026image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:37.174896image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:43.070144image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:48.850784image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:01:55.054008image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:00.895741image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:07.320554image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:13.346380image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:19.468583image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2025-02-19T10:02:25.223464image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Correlations

2025-02-19T10:02:49.859282image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
COSTE_MTO_CORR_MEDIO_POR_ORDENCOSTE_MTO_CORR_TOTALCOSTE_MTO_MEDIO_POR_ORDENCOSTE_MTO_PREV_MEDIO_POR_ORDENCOSTE_MTO_PREV_TOTALCOSTE_MTO_TOTALDIAS_ENTRE_FALL_CONSECDURACION_HORAS_CORR_MEDIO_POR_ORDENDURACION_HORAS_CORR_TOTALDURACION_HORAS_MEDIO_POR_ORDENDURACION_HORAS_PREV_MEDIO_POR_ORDENDURACION_HORAS_PREV_TOTALDURACION_HORAS_TOTALFabricanteHoras_OperativasHoras_Recomendadas_RevisionID_EquipoID_RegistroMEDIA_HORAS_OPERATIVASMEDIA_TEMPMEDIA_VIBRModeloOrdenes_CorrectivoOrdenes_PreventivoPotencia_kWTemperatura_CTipo_EquipoTotal_OrdenesVibracion_mm_sVida_util_estimada
COSTE_MTO_CORR_MEDIO_POR_ORDEN1.0000.4230.672-0.016-0.0500.298-0.0160.0650.0020.0430.017-0.015-0.0200.150-0.0080.0170.028-0.000-0.025-0.011-0.0160.145-0.019-0.0310.012-0.0040.144-0.0370.001-0.004
COSTE_MTO_CORR_TOTAL0.4231.0000.304-0.035-0.0360.709-0.7590.0430.7820.015-0.018-0.0340.5460.151-0.0200.0410.011-0.018-0.090-0.040-0.0110.1320.873-0.010-0.062-0.0080.1590.6070.000-0.017
COSTE_MTO_MEDIO_POR_ORDEN0.6720.3041.0000.6590.2550.414-0.0100.0720.0140.0490.025-0.030-0.0260.1290.0060.0020.0180.0120.0250.005-0.0110.127-0.009-0.0650.0560.0010.143-0.0550.0010.009
COSTE_MTO_PREV_MEDIO_POR_ORDEN-0.016-0.0350.6591.0000.4170.2560.0200.048-0.0040.011-0.010-0.030-0.0390.1220.020-0.0380.0020.0240.0780.023-0.0310.115-0.019-0.0460.1120.0060.111-0.055-0.0040.067
COSTE_MTO_PREV_TOTAL-0.050-0.0360.2550.4171.0000.641-0.0180.001-0.013-0.054-0.0480.7520.5130.1170.016-0.001-0.0040.0160.0610.0380.0060.130-0.0120.8580.0490.0130.1350.5770.0030.039
COSTE_MTO_TOTAL0.2980.7090.4140.2560.6411.000-0.5730.0440.568-0.019-0.0490.4910.7710.126-0.0020.0250.0080.003-0.017-0.006-0.0260.1120.6310.575-0.0070.0030.1050.863-0.0030.023
DIAS_ENTRE_FALL_CONSEC-0.016-0.759-0.0100.020-0.018-0.5731.000-0.077-0.763-0.0280.015-0.012-0.5710.1050.0210.0250.0130.0160.0990.0250.0480.158-0.860-0.0380.0310.0060.125-0.6220.009-0.021
DURACION_HORAS_CORR_MEDIO_POR_ORDEN0.0650.0430.0720.0480.0010.044-0.0771.0000.4530.657-0.064-0.0400.3110.104-0.003-0.002-0.0450.0080.009-0.0890.0090.1500.038-0.0200.011-0.0200.1420.0130.0070.049
DURACION_HORAS_CORR_TOTAL0.0020.7820.014-0.004-0.0130.568-0.7630.4531.0000.299-0.047-0.0420.6980.117-0.0160.024-0.018-0.015-0.069-0.077-0.0170.1460.887-0.003-0.066-0.0170.1090.622-0.0010.007
DURACION_HORAS_MEDIO_POR_ORDEN0.0430.0150.0490.011-0.054-0.019-0.0280.6570.2991.0000.6390.2580.4080.159-0.0050.002-0.0450.020-0.014-0.037-0.0270.1360.011-0.061-0.055-0.0110.160-0.030-0.0050.053
DURACION_HORAS_PREV_MEDIO_POR_ORDEN0.017-0.0180.025-0.010-0.048-0.0490.015-0.064-0.0470.6391.0000.4040.2380.1520.0010.033-0.0060.020-0.0060.051-0.0250.111-0.018-0.054-0.0690.0090.092-0.052-0.0090.031
DURACION_HORAS_PREV_TOTAL-0.015-0.034-0.030-0.0300.7520.491-0.012-0.040-0.0420.2580.4041.0000.6500.1610.0060.017-0.0150.0210.0180.0530.0090.123-0.0240.863-0.0090.0140.1640.574-0.0010.032
DURACION_HORAS_TOTAL-0.0200.546-0.026-0.0390.5130.771-0.5710.3110.6980.4080.2380.6501.0000.113-0.0080.037-0.0140.004-0.040-0.032-0.0160.1310.6330.596-0.064-0.0040.1070.884-0.0020.024
Fabricante0.1500.1510.1290.1220.1170.1260.1050.1040.1170.1590.1520.1610.1131.0000.0160.1490.1560.0110.1290.1720.1580.0820.1270.1520.1340.0000.1030.1040.0160.141
Horas_Operativas-0.008-0.0200.0060.0200.016-0.0020.021-0.003-0.016-0.0050.0010.006-0.0080.0161.000-0.0080.008-0.0020.2360.0080.0150.003-0.0140.0080.006-0.0140.000-0.007-0.0030.097
Horas_Recomendadas_Revision0.0170.0410.002-0.038-0.0010.0250.025-0.0020.0240.0020.0330.0170.0370.149-0.0081.0000.0170.017-0.014-0.0710.0040.1220.0240.0170.069-0.0170.1310.037-0.002-0.024
ID_Equipo0.0280.0110.0180.002-0.0040.0080.013-0.045-0.018-0.045-0.006-0.015-0.0140.1560.0080.0171.000-0.0010.0670.0330.0080.141-0.012-0.002-0.0190.0110.1350.001-0.002-0.069
ID_Registro-0.000-0.0180.0120.0240.0160.0030.0160.008-0.0150.0200.0200.0210.0040.011-0.0020.017-0.0011.0000.005-0.0170.0210.003-0.0190.0120.0240.0090.000-0.004-0.0030.017
MEDIA_HORAS_OPERATIVAS-0.025-0.0900.0250.0780.061-0.0170.0990.009-0.069-0.014-0.0060.018-0.0400.1290.236-0.0140.0670.0051.0000.0370.0480.114-0.0730.0260.0320.0110.117-0.0470.0130.386
MEDIA_TEMP-0.011-0.0400.0050.0230.038-0.0060.025-0.089-0.077-0.0370.0510.053-0.0320.1720.008-0.0710.033-0.0170.0371.0000.0480.114-0.0410.036-0.0550.2310.119-0.0090.008-0.027
MEDIA_VIBR-0.016-0.011-0.011-0.0310.006-0.0260.0480.009-0.017-0.027-0.0250.009-0.0160.1580.0150.0040.0080.0210.0480.0481.0000.102-0.0100.0180.0450.0160.107-0.0060.2310.009
Modelo0.1450.1320.1270.1150.1300.1120.1580.1500.1460.1360.1110.1230.1310.0820.0030.1220.1410.0030.1140.1140.1021.0000.1110.1120.1230.0000.0500.1290.0140.158
Ordenes_Correctivo-0.0190.873-0.009-0.019-0.0120.631-0.8600.0380.8870.011-0.018-0.0240.6330.127-0.0140.024-0.012-0.019-0.073-0.041-0.0100.1111.0000.006-0.063-0.0080.1410.705-0.0000.004
Ordenes_Preventivo-0.031-0.010-0.065-0.0460.8580.575-0.038-0.020-0.003-0.061-0.0540.8630.5960.1520.0080.017-0.0020.0120.0260.0360.0180.1120.0061.0000.0050.0130.1540.6800.0030.025
Potencia_kW0.012-0.0620.0560.1120.049-0.0070.0310.011-0.066-0.055-0.069-0.009-0.0640.1340.0060.069-0.0190.0240.032-0.0550.0450.123-0.0630.0051.000-0.0110.114-0.0520.013-0.048
Temperatura_C-0.004-0.0080.0010.0060.0130.0030.006-0.020-0.017-0.0110.0090.014-0.0040.000-0.014-0.0170.0110.0090.0110.2310.0160.000-0.0080.013-0.0111.0000.0000.003-0.009-0.005
Tipo_Equipo0.1440.1590.1430.1110.1350.1050.1250.1420.1090.1600.0920.1640.1070.1030.0000.1310.1350.0000.1170.1190.1070.0500.1410.1540.1140.0001.0000.1150.0000.112
Total_Ordenes-0.0370.607-0.055-0.0550.5770.863-0.6220.0130.622-0.030-0.0520.5740.8840.104-0.0070.0370.001-0.004-0.047-0.009-0.0060.1290.7050.680-0.0520.0030.1151.0000.0000.002
Vibracion_mm_s0.0010.0000.001-0.0040.003-0.0030.0090.007-0.001-0.005-0.009-0.001-0.0020.016-0.003-0.002-0.002-0.0030.0130.0080.2310.014-0.0000.0030.013-0.0090.0000.0001.0000.008
Vida_util_estimada-0.004-0.0170.0090.0670.0390.023-0.0210.0490.0070.0530.0310.0320.0240.1410.097-0.024-0.0690.0170.386-0.0270.0090.1580.0040.025-0.048-0.0050.1120.0020.0081.000

Missing values

2025-02-19T10:02:31.707824image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
A simple visualization of nullity by column.
2025-02-19T10:02:32.472438image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

ID_RegistroID_EquipoFechaTemperatura_CVibracion_mm_sHoras_OperativasMEDIA_TEMPMEDIA_VIBRMEDIA_HORAS_OPERATIVASVida_util_estimadaTotal_OrdenesOrdenes_CorrectivoOrdenes_PreventivoDIAS_ENTRE_FALL_CONSECCOSTE_MTO_CORR_MEDIO_POR_ORDENDURACION_HORAS_CORR_MEDIO_POR_ORDENCOSTE_MTO_CORR_TOTALDURACION_HORAS_CORR_TOTALCOSTE_MTO_PREV_MEDIO_POR_ORDENDURACION_HORAS_PREV_MEDIO_POR_ORDENCOSTE_MTO_PREV_TOTALDURACION_HORAS_PREV_TOTALCOSTE_MTO_MEDIO_POR_ORDENDURACION_HORAS_MEDIO_POR_ORDENCOSTE_MTO_TOTALDURACION_HORAS_TOTALTipo_EquipoFabricanteModeloPotencia_kWHoras_Recomendadas_Revision
011472020-01-01 00:00:00124.613.4961609.099.4573912.67782647607.91304398041.02115624.5000004655.79333321.66666769836.903255240.87666727.83333331445.261674822.96000023.428571101282.16492CompresorSchneiderY20030024190
121112020-01-01 01:00:0058.123.6249474.0103.0010532.90842157912.31578998810.02113830.2500006208.58384623.07692380711.593004420.49250025.62500035363.942055527.40619024.047619116075.53505MotorGEZ30027054471
234752020-01-01 02:00:00124.863.3659760.094.9160002.58766743984.60000093220.0159646.2500004925.69555620.66666744331.261864390.72166722.83333326344.331374711.70600021.53333370675.59323MotorSiemensZ30024006053
343372020-01-01 03:00:00110.451.5627752.098.9664293.33857134443.64285777730.024131132.5833333019.07384627.15384639247.963535508.71000022.27272760595.812454160.15708324.91666799843.77598GeneradorSchneiderM40047449776
452122020-01-01 04:00:0070.534.8933066.080.9838892.72777846399.55555698578.01911831.3000005767.43000021.90909163441.732414795.37875031.62500038363.032535358.14526326.000000101804.76494GeneradorSiemensM40033016898
563772020-01-01 05:00:00142.320.7720984.097.1921052.92947452174.52631698928.01811739.8000005319.98545519.09090958519.842105006.32142928.42857135044.251995198.00500022.72222293564.09409CompresorGEZ3002229026
67412020-01-01 06:00:0076.172.8236053.089.7273682.22052649753.78947485770.01841460.6666674739.22500016.50000018956.90663571.68571426.57142950003.603723831.13888924.33333368960.50438MotorSchneiderZ30044911010
782272020-01-01 07:00:0087.212.9725377.099.9850002.41050048674.15000084791.095481.0000006363.65000020.60000031818.251032304.66000024.0000009218.64964559.65444422.11111141036.89199MotorSchneiderY20030786083
89152020-01-01 08:00:00116.380.5071354.094.4037502.35937553825.87500095381.021111038.2000005136.69727323.72727356503.672615808.32200025.40000058083.222545456.51857124.523810114586.89515GeneradorSchneiderX10031814543
9102982020-01-01 09:00:0078.962.7248381.096.1595242.26333352795.76190599769.02491535.8750005928.57444425.44444453357.172294694.08666722.80000070411.303425157.01958323.791667123768.47571TransformadorGEM40040806337
ID_RegistroID_EquipoFechaTemperatura_CVibracion_mm_sHoras_OperativasMEDIA_TEMPMEDIA_VIBRMEDIA_HORAS_OPERATIVASVida_util_estimadaTotal_OrdenesOrdenes_CorrectivoOrdenes_PreventivoDIAS_ENTRE_FALL_CONSECCOSTE_MTO_CORR_MEDIO_POR_ORDENDURACION_HORAS_CORR_MEDIO_POR_ORDENCOSTE_MTO_CORR_TOTALDURACION_HORAS_CORR_TOTALCOSTE_MTO_PREV_MEDIO_POR_ORDENDURACION_HORAS_PREV_MEDIO_POR_ORDENCOSTE_MTO_PREV_TOTALDURACION_HORAS_PREV_TOTALCOSTE_MTO_MEDIO_POR_ORDENDURACION_HORAS_MEDIO_POR_ORDENCOSTE_MTO_TOTALDURACION_HORAS_TOTALTipo_EquipoFabricanteModeloPotencia_kWHoras_Recomendadas_Revision
892089913932021-01-09 14:00:0092.542.9294808.093.7742112.50473759880.94736898811.02617924.4375005592.17235325.17647195066.934286702.75777823.77777860324.822145976.60576924.692308155391.75642GeneradorABBY2005745064
892189921242021-01-09 15:00:0075.532.4296596.094.9621432.67285754508.57142996596.0115691.0000004297.91600028.40000021489.581424008.17666720.50000024049.061234139.87636424.09090945538.64265CompresorSiemensZ30046022173
892289932642021-01-09 16:00:00146.734.4125814.0103.9915002.95400052182.85000099079.01991045.8750005151.20666730.00000046360.862703349.17900019.60000033491.791964202.77105324.52631679852.65466TransformadorGEY200-1007318
892389943452021-01-09 17:00:0084.503.3219143.0104.1512502.37750047085.25000095315.01971252.0000005721.87285720.57142940053.111444527.56166723.66666754330.742844967.57105322.52631694383.85428CompresorGEZ3001780858
89248995322021-01-09 18:00:00141.102.1513503.0107.6570002.67733346243.50000097810.026141227.9230775323.66928622.92857174531.373215491.53250026.08333365898.393135401.14461524.384615140429.76634GeneradorGEY2008769450
892589962012021-01-09 19:00:00112.751.0756253.091.5080001.99333344927.26666795906.023131024.3333334335.08153826.61538556356.063465506.35000014.20000055063.501424844.32869621.217391111419.56488GeneradorSiemensZ30022188978
892689974752021-01-09 20:00:0050.673.2827276.094.9160002.58766743984.60000093220.0159646.2500004925.69555620.66666744331.261864390.72166722.83333326344.331374711.70600021.53333370675.59323MotorSiemensZ30024006053
89278998962021-01-09 21:00:00133.860.7475860.0109.6138892.65333349443.38888990895.022121029.2727274579.73583324.33333354956.832922967.16400023.00000029671.642303846.74863623.72727384628.47522TransformadorGEM40016019334
892889994492021-01-09 22:00:0084.721.7711775.0103.9860002.69750047536.15000095095.023111230.0000005234.59181817.90909157580.511975764.24666728.00000069170.963365510.93347823.173913126751.47533GeneradorGEX10026169224
892990004552021-01-09 23:00:00127.401.347354.098.0010532.39631641951.31578999195.02215724.2142864324.86266724.80000064872.943724719.64857128.57142933037.542004450.47636426.00000097910.48572GeneradorSiemensZ30032122215